Deep domain generalization via conditional invariant adversarial networks Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao Proceedings of the European conference on computer vision (ECCV), 624-639, 2018 | 683 | 2018 |
Domain generalization via conditional invariant representations Y Li, M Gong, X Tian, T Liu, D Tao Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 195 | 2018 |
Principal component adversarial example Y Zhang, X Tian, Y Li, X Wang, D Tao IEEE Transactions on Image Processing 29, 4804-4815, 2020 | 49 | 2020 |
Multi-task proximal support vector machine Y Li, X Tian, M Song, D Tao Pattern Recognition 48 (10), 3249-3257, 2015 | 43 | 2015 |
On better exploring and exploiting task relationships in multitask learning: Joint model and feature learning Y Li, X Tian, T Liu, D Tao IEEE transactions on neural networks and learning systems 29 (5), 1975-1985, 2017 | 42 | 2017 |
Multi-task model and feature joint learning Y Li, X Tian, T Liu, D Tao Twenty-fourth international joint conference on artificial intelligence, 2015 | 33 | 2015 |
Compact feature learning for multi-domain image classification Y Liu, X Tian, Y Li, Z Xiong, F Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 25 | 2019 |
Classification and Representation Joint Learning via Deep Networks. Y Li, X Tian, X Shen, D Tao IJCAI 2017, 67, 2017 | 24 | 2017 |
Eigenfunction-based multitask learning in a reproducing kernel Hilbert space X Tian, Y Li, T Liu, X Wang, D Tao IEEE Transactions on Neural Networks and Learning Systems 30 (6), 1818-1830, 2018 | 18 | 2018 |
Domain generalization via encoding and resampling in a unified latent space Y Liu, Z Xiong, Y Li, X Tian, ZJ Zha IEEE Transactions on Multimedia 25, 126-139, 2021 | 13 | 2021 |
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks Y Zhang, Y Li, T Liu, X Tian International Conference on Machine Learning, 11163-11172, 2020 | 12 | 2020 |
Regularized large margin distance metric learning Y Li, X Tian, D Tao 2016 IEEE 16th International Conference on Data Mining (ICDM), 1015-1022, 2016 | 12 | 2016 |
Cross attention augmented transducer networks for simultaneous translation D Liu, M Du, X Li, Y Li, E Chen Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 10 | 2021 |
Towards lightweight black-box attack against deep neural networks C Sun, Y Zhang, W Chaoqun, Q Wang, Y Li, T Liu, B Han, X Tian Advances in Neural Information Processing Systems 35, 19319-19331, 2022 | 9 | 2022 |
Category-stitch learning for union domain generalization Y Liu, Z Xiong, Y Li, Y Lu, X Tian, ZJ Zha ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 7 | 2023 |
Eigenvector-based distance metric learning for image classification and retrieval Z Wang, Y Li, R Hong, X Tian ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019 | 6 | 2019 |
Learning efficient lexically-constrained neural machine translation with external memory Y Li, X Liu, D Liu, X Zhang, J Liu arXiv preprint arXiv:1901.11344, 2019 | 5 | 2019 |
Online semi-supervised multi-task distance metric learning Y Li, D Tao 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 4 | 2016 |
Semi-supervised coefficient-based distance metric learning Z Wang, Y Li, X Tian Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 3 | 2017 |
Graph-based multi-task learning Y Li, X Tian 2015 IEEE 16th International Conference on Communication Technology (ICCT …, 2015 | 3 | 2015 |